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» Visual Data Mining in Large Geospatial Point Sets
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CIKM
2005
Springer
14 years 29 days ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
JBI
2007
110views Bioinformatics» more  JBI 2007»
13 years 7 months ago
FreeViz - An intelligent multivariate visualization approach to explorative analysis of biomedical data
Visualization can largely improve biomedical data analysis. It plays a crucial role in explorative data analysis and may support various data mining tasks. The paper presents Free...
Janez Demsar, Gregor Leban, Blaz Zupan
KDD
2001
ACM
124views Data Mining» more  KDD 2001»
14 years 7 months ago
Tri-plots: scalable tools for multidimensional data mining
We focus on the problem of finding patterns across two large, multidimensional datasets. For example, given feature vectors of healthy and of non-healthy patients, we want to answ...
Agma J. M. Traina, Caetano Traina Jr., Spiros Papa...
EDM
2009
184views Data Mining» more  EDM 2009»
13 years 5 months ago
Process Mining Online Assessment Data
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
14 years 4 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...